The Danger of Making Decisions based upon Averages
“If you make decisions based upon averages, at best, you’ll get average results” During the 1950s[1], United States Air Force pilots were having trouble...
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How the data warehouse can stand between your data and your insights
You have a product that has taken off. Your daily active users metric has been growing exponentially. The number of events per day youre logging is now in the 100...
What Makes Power BI the Most Powerful Data Visualization Tool
Nowadays, businesses have to rely on data in unprecedented ways. In fact, businesses hailing from various disciplines use massive amounts of data on a daily basis. They g...
Tech-Driven Transformation of the Legal Sector
Legal Tech refers to the technology used in the legal sector. It has significantly transformed how attorneys and other legal professionals perform their duties. Moreover,...
The Secret behind Train and Test Split in Machine Learning Process
What is Data Science and Machine Learning? Data Science Data Science is a broader concept and multidisciplinary. Data science is a general process and method that analy...
11 Email Marketing Tools For You To Consider
Email Marketing can be challenging. I learnt this lesson from my experience in the digital marketing sphere and being a support representative at an email software compan...
The Coming College Crisis
This article is also available as a podcast on Spotify. and was originally published on The Cagle Report. Education, especially college education, is facing an existen...
A guide to Enterprise Software Development
Enterprise systems help integrate various business functions across an organization. As good as it sounds, developing an enterprise system has hidden pitfalls that can af...
Say goodbye to traditional data cleansing
Data Cleansing and analysis are the first steps in managing the quality of data. Cleansing is the process of correcting and detecting inaccurate data from your datasets. ...
Model Versioning: Reduce Friction. Create Stability. Automate.
The research and development (R&D) phase of building an AI model to address a business problem is characterized by rapid exploration and iteration. Everything is on t...